Probabilistic forecasting for sizing in the capacity firming framework

Author name not available (Why is that?)

Publication date: 4 June 2021

Abstract: This paper proposes a strategy to size a grid-connected photovoltaic plant coupled with a battery energy storage device within the extit{capacity firming} specifications of the French Energy Regulatory Commission. In this context, the sizing problem is challenging due to the two-phase engagement control with a day-ahead nomination and an intraday control to minimize deviations from the planning. The two-phase engagement control is modeled with deterministic and stochastic approaches. The optimization problems are formulated as mixed-integer quadratic problems, using a Gaussian copula methodology to generate PV scenarios, to approximate the mixed-integer non-linear problem of the capacity firming. Then, a grid search is conducted to approximate the optimal sizing for a given selling price using both the deterministic and stochastic approaches. The case study is composed of PV production monitored on-site at the Li`ege University (ULi`ege), Belgium.

Has companion code repository: https://github.com/jonathandumas/capacity-firming-ro

This page was built for publication: Probabilistic forecasting for sizing in the capacity firming framework

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6369427)